Senior Product Engineer, AI
Build and ship AI-powered customer support products, moving ML prototypes into robust production systems while partnering closely with scientists, product, and design teams. The role requires strong software engineering fundamentals, 5+ years of product experience, and proficiency in a high-level programming language.
About the job
Responsibilities
- Build the systems that power Fin's flagship AI products, primarily using its ML Python technology stack and occasionally working across its Rails application.
- Work alongside ML Scientists to bring proof-of-concept code into robust, scalable production systems.
- Partner with product teams to shape AI-powered product experiences.
- Contribute to all phases of software development, including ideation, prototyping, implementation, and testing.
- Participate in hiring, mentoring, and career development for other engineers.
- Raise technical standards for performance, reliability, and operational excellence.
Requirements
- 5+ years of experience shipping high-quality products.
- Significant impact demonstrated through previous work.
- Strong software engineering fundamentals and a willingness to learn and develop.
- Deep knowledge of a high-level programming language, such as Ruby, Python, or JavaScript.
- Strong willingness to advocate for good outcomes.
- Bias toward progress over perfection.
- BSc in Computer Science, Mathematics, Statistics, or a related discipline.
Nice to Have
- Experience in data analytics or a statistical role.
- Hands-on experience with machine learning systems.
Compensation & Benefits
- Competitive salary and equity in a fast-growing startup.
- Lunch provided on weekdays, snacks, and a fully stocked kitchen.
- Regular compensation reviews.
- Pension scheme with matching up to 4%.
- Life assurance and comprehensive health and dental insurance for employees and dependents.
- Flexible paid time off.
- Paid maternity leave and six weeks of paternity leave.
- Cycle-to-Work Scheme and secure bike storage.
- MacBook standard, with Windows available for certain roles.
- Hybrid working policy requiring at least three days per week in the office.
Skills
Python, Ruby, JavaScript, Machine Learning, Rails, Statistical Analysis, Data Analytics, Software Engineering
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